| 将非数值特征模式识别及神经网络用于浮选现象的判断及控制 |
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| 引用本文： | 陈子鸣,茹青.将非数值特征模式识别及神经网络用于浮选现象的判断及控制[J].有色金属,1995(2). |
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| 作者姓名： | 陈子鸣 茹青 |
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| 作者单位： | 北京矿冶研究总院 |
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| 基金项目： | 国家自然科学基金资助课题 |
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| 摘 要： | 将神经网络非数值特征模式识别技术引入对浮选现象的判断是交叉学科在选矿领域应用的尝试，它具有包罗的变量多、层次多、精度高、运算快以及适用于对各种数值和非数值特征的变量辨识的优点。
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| 关 键 词： | 选矿 控制 人工神经网络 专家系统 |
USING ARTIFICIAL NEURAL NETWORK FOR NON-NUMERIC CHARACTER MODE DISCRIMINATION IN FLOTATION PHENOMENON'S DEFINITION AND CONTROLLING |
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| Chen Ziming.USING ARTIFICIAL NEURAL NETWORK FOR NON-NUMERIC CHARACTER MODE DISCRIMINATION IN FLOTATION PHENOMENON'S DEFINITION AND CONTROLLING[J].Nonferrous Metals,1995(2). |
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| Authors: | Chen Ziming |
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| Abstract: | This is a test for using the artificial neural network to discriminate the flotation phenomena's definition and controlling,It is a new area being in troduced in ll1ineral process control,In a lead and zinc flotation system,there are more than 40 variables that can be involved in the neural network and three levels for defining the flotation process,It ls the advantages of the controlling method that more variables and levels can be involved in controlling and can be used to discriminate the non-numeric characters of processes. |
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| Keywords: | mineral processing controlling artificial neural network expert system |
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